Wavelet Based 3D Compression for Very Large Volume Data Supporting Fast Random Access

  • Flemming Friche Rodler

Abstract

We propose a wavelet based method for compressing volumetric
data with little loss in quality. The method supports fast
random access to individual voxels within the compressed volume.
Such a method is important since storing and visualising
very large volumes impose heavy demands on internal memory
and external storage facilities making it accessible only to users
with huge and expensive computers. This problem is not likely to
become less in the future. Experimental results on the CT dataset
of the Visible Human have shown that our method provides very
high compression rates with fairly fast random access.
Published
1999-12-04
How to Cite
Rodler, F. (1999). Wavelet Based 3D Compression for Very Large Volume Data Supporting Fast Random Access. BRICS Report Series, 6(34). https://doi.org/10.7146/brics.v6i34.20103